Real-world experience of using combinatorial pharmacogenomic test in children and adolescents with depression and anxiety.

OBJECTIVE: To evaluate the real-world impact of using a commercially available combinatorial pharmacogenomic (CPGx) test on medication management and clinical outcomes in children and adolescents treated at a tertiary care psychiatry practice. METHODS: A retrospective cohort study using our prospectively maintained database of patients undergoing CPGx testing was performed. Only patients with clinical data at the time of ordering CPGx test (pre-baseline), potential medication change visit (baseline) and 8-weeks follow-up (post-baseline) visit were included. Clinical Global Impression (CGI) scores for each visit were calculated. Appropriate statistical analysis, including one-sample t-test, paired t-test and Chi-square test was performed. RESULTS: Based on the inclusion criteria, 281 (75.9%) of the 370 patients with CPGx testing were included. Their mean age was 15.8 ± 4.5 years (111 females; 39.5%). The average number of medications significantly increased to 2.4 ± 1.2 on the post-baseline visit [t(280) = 8.34, p < 0.001). Medications were added in 123 (43.7%), replaced in 92 (32.7%) patients and remained unchanged in rest. There was no significant association between medication-related adverse effects and psychotropic medication change group (p = 0.27). The study population showed a significant improvement (p < 0.001) in the CGI severity, efficacy, and global improvement indices. CONCLUSION: In our experience of using CPGx test in a large cohort of children and adolescents during routine clinical practice, three-quarter of them underwent medication change. Additionally, we noted an improvement in clinical outcomes without impacting adverse effects. While the role of clinical judgement in medication changes in our cohort is likely, CPGx may supplement clinical decision making. However, the best use and benefit of CPGx in routine clinical practice needs further investigation.

Digital conversations about depression among Hispanics and non-Hispanics in the US: a big-data, machine learning analysis identifies specific characteristics of depression narratives in Hispanics.

BACKGROUND: Digital conversations can offer unique information into the attitudes of Hispanics with depression outside of formal clinical settings and help generate useful information for medical treatment planning. Our study aimed to explore the big data from open-source digital conversations among Hispanics with regard to depression, specifically attitudes toward depression comparing Hispanics and non-Hispanics using machine learning technology. METHODS: Advanced machine-learning empowered methodology was used to mine and structure open-source digital conversations of self-identifying Hispanics and non-Hispanics who endorsed suffering from depression and engaged in conversation about their tone, topics, and attitude towards depression. The search was limited to 12 months originating from US internet protocol (IP) addresses. In this cross-sectional study, only unique posts were included in the analysis and were primarily analyzed for their tone, topic, and attitude towards depression between the two groups using descriptive statistical tools. RESULTS: A total of 441,000 unique conversations about depression, including 43,000 (9.8%) for Hispanics, were posted. Source analysis revealed that 48% of conversations originated from topical sites compared to 16% on social media. Several critical differences were noted between Hispanics and non-Hispanics. In a higher percentage of Hispanics, their conversations portray "negative tone" due to depression (66% vs 39% non-Hispanics), show a resigned/hopeless attitude (44% vs. 30%) and were about 'living with' depression (44% vs. 25%). There were important differences in the author's determined sentiments behind the conversations among Hispanics and non-Hispanics. CONCLUSION: In this first of its kind big data analysis of nearly a half-million digital conversations about depression using machine learning, we found that Hispanics engage in an online conversation about negative, resigned, and hopeless attitude towards depression more often than non-Hispanic.

Dementia, Subtype of Seizures, and the Risk of New Onset Seizures: A Cohort Study.

BACKGROUND: Seizure disorders have been identified in patients suffering from different types of dementia. However, the risks associated with the seizure subtypes have not been characterized. OBJECTIVE: To compare the occurrence and risk of various seizure subtypes (focal and generalized) between patients with and without a dementia diagnosis. METHODS: Data from 40.7 million private insured patient individual electronic health records from the U.S., were utilized. Patients 60 years of age or more from the Optum Insight Clinformatics-data Mart database were included in this study. Using ICD-9 diagnoses, the occurrence of generalized or focal seizure disorders was identified. The risk of new-onset seizures and the types of seizures associated with a dementia diagnosis were estimated in a cohort of 2,885,336 patients followed from 2005 to 2014. Group differences were analyzed using continuity-adjusted chi-square and hazard ratios with 95%confidence intervals calculated after a logistic regression analysisResults:A total of 79,561 patient records had a dementia diagnosis, and 56.38%of them were females. Patients with dementia when compared to those without dementia had higher risk for seizure disorders [Hazard ratio (HR) = 6.5 95%CI = 4.4-9.5]; grand mal status (HR = 6.5, 95%CI = 5.7-7.3); focal seizures (HR = 6.0, 95%CI = 5.5-6.6); motor simple focal status (HR = 5.6, 95%CI = 3.5-9.0); epilepsy (HR = 5.0, 95%CI = 4.8-5.2); generalized convulsive epilepsy (HR = 4.8, 95%CI = 4.5-5.0); localization-related epilepsy (HR = 4.5, 95%CI = 4.1-4.9); focal status (HR = 4.2, 95%CI = 2.9-6.1); and fits convulsions (HR = 3.5, 95%CI = 3.4-3.6). CONCLUSION: The study confirms that patients with dementia have higher risks of generalized or focal seizure than patients without dementia.

Altmetric scores analysis reveals a high demand for psychiatry research on social media.

The aim of our study is to investigate the social and electronic media attention received by psychiatry research using the Altmetric attention scores (AAS) and the predictors of this public engagement. We analyzed all research articles published in 2016 in the top 5 impact factor-based psychiatry journals. We extracted the AAS, various media (news, Twitter, Facebook, etc.) engagements, and citations received by each article using online database. Univariate and multivariate linear regression analysis was performed. A total of 360 research articles published in JAMA Psychiatry, The Lancet Psychiatry, World Psychiatry, American Journal of Psychiatry, Psychotherapy and Psychosomatics were included. The median AAS was 44 [IQR = 15 - 146] and median citations were 26 (14-47) with a significant but weak correlation (rs = 0.43; p = 0.001) between the two metrics. The multivariate model found that the significant predictors of an 'article's higher AAS were its journal of publication, article type, and the topics addressed in the article (impact of lifestyle on mental well-being, suicide, and addiction). In conclusion, we found a very high degree of public engagement with psychiatry research, especially when compared to other medical specialties. This highlights great opportunity as well as responsibility for psychiatry research community.

Screening for suicidality and its relation to undiagnosed psychiatric comorbidities in children and youth with epilepsy.

INTRODUCTION: Depression and anxiety are the most common psychiatric comorbidities in children and youth with epilepsy (CYE) and known to contribute to suicidality among them. However, not much is known about suicidality in CYE without established psychiatric comorbidities. Our research aimed to fill this knowledge gap and correlate this latent suicidality with screening tests for depression and anxiety. METHOD: After Institutional Review Board (IRB) approval, CYE who attended the epilepsy clinic or underwent testing in the pediatric epilepsy monitoring unit at the Cleveland Clinic and lacked established psychiatric diagnosis were enrolled. They filled out self-reported, validated scales for screening of depression, anxiety, and suicidality (Center for Epidemiological Studies Depression Scale for Children [CES-DC], Screen for Child Anxiety Related Emotional Disorders [SCARED], and Ask Suicide-Screening Questions [ASQ], respectively). Univariate descriptive statistics along with χ2 test of association and independent Student's t-test were performed for statistical analysis. RESULTS: A total of 119 (54.6% females) CYE were included in the study. Close to a third (30.2%) of CYE were positive for anxiety on SCARED, and 41.2% were positive for depression based on CSE-DC scoring. A total of 13 (10.9%) CYE indicated suicidality by answering at least one positive response on ASQ. The SCARED had a low positive correlation with the ASQ (r = 0.32) but a moderate positive correlation with the CES-DC (r = 0.64). CONCLUSION: We found that a small but significant 11% of CYE without any established psychiatric diagnosis expressed suicidality on a self-reported questionnaire. This highlights the importance of using psychiatry screening tests in all CYE. Future research using a larger, diversified cohort is needed to confirm our findings.

Psychiatric Comorbidities in Pediatric Epilepsy.

PURPOSE OF REVIEW: Psychiatric comorbidities are close to 5-times higher in children and youth with epilepsy (CYE) compared to general population. With epilepsy being one of the most common neurological disorders in children, we provide a timely review of psychiatric issues in CYE. RECENT FINDINGS: A meta-analysis found a pooled prevalence of anxiety in 18.9% and depression in 13.5% of CYE. Attention deficit hyperactivity disorder (ADHD) is 2.5 to 5.5 times higher in CYE compared to healthy counterparts. Recent evidence highlights that behavioral adverse effects may lead to discontinuation of anti-epileptic drugs (AEDs) in more than 10% of CYE. Up to 70% CYE shows elevation in baseline psychological symptoms after AED initiation. Identifying psychiatric symptoms can be easily accomplished by the routine use of psychiatric screening instruments in CYE clinics, which is associated with improved health-related quality of life (HRQOL). Psychoeducation is a key component for any visit with CYE. There is some evidence of the effectiveness of behavioral psychological interventions for CYE. There are no therapeutic trials of psychotropics in CYE, but treatment recommendations based on the experience in adults with epilepsy and general population are applicable. Early diagnosis and management of psychiatric comorbidities leads to improvement in HRQOL of CYE. This requires routine screening and a multidisciplinary teamwork.

Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.

OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles of people with epilepsy (PWE) outside of formal clinical settings and help generate useful information for treatment planning. Our study aimed to explore the big data from open-source digital conversations among PWE with regard to suicidality, specifically comparing teenagers and adults, using machine learning technology. METHODS: Advanced machine-learning empowered methodology was used to mine and structure open-source digital conversations of self-identifying teenagers and adults who endorsed suffering from epilepsy and engaged in conversation about suicide. The search was limited to 12 months and included only conversations originating from US internet protocol (IP) addresses. Natural language processing and text analytics were employed to develop a thematic analysis. RESULTS: A total of 222 000 unique conversations about epilepsy, including 9000 (4%) related to suicide, were posted during the study period. The suicide-related conversations were posted by 7.8% of teenagers and 3.2% of adults in the study. Several critical differences were noted between teenagers and adults. A higher percentage of teenagers are: fearful of "the unknown" due to seizures (63% vs 12% adults), concerned about social consequences of seizures (30% vs 21%), and seek emotional support (29% vs 19%). In contrast, a significantly higher percentage of adults show a defeatist ("given up") attitude compared to teenagers (42% vs 4%). There were important differences in the author's determined sentiments behind the conversations among teenagers and adults. SIGNIFICANCE: In this first of its kind big data analysis of nearly a quarter-million digital conversations about epilepsy using machine learning, we found that teenagers engage in an online conversation about suicide more often than adults. There are some key differences in the attitudes and concerns, which may have implications for the treatment of younger patients with epilepsy.

High Viewership of Videos About Teenage Suicide on YouTube.

The recent rise in suicide rate of teenagers has coincided with their increasing use of social media sites. YouTube is the social media platform most commonly used by teenagers. Recent research studies and news reports have highlighted serious concerns about the nature of information available on YouTube and its potential impact. Owing to such concerns, the aim of our study was to analyze videos about teenage suicide on YouTube and viewers' engagement with them. We conducted a comprehensive search and analyzed unique videos in the English language with ≥1,000 views. The videos were categorized and compared based on their source. The tone of top 10 comments, based on viewer engagement, was analyzed as well. Statistical analysis, including Kruskal-Wallis tests to compare the videos, was conducted. The final analysis included 413 videos, with cumulative 482,736,217 views. Close to half (48.6%) of the videos were educational, and almost a third (29.3%) were about awareness/prevention of teenage suicide. Only 8.2% of videos were from academic sources. Among the 2,500 comments analyzed, 29.5% had a positive tone, and 7.5% expressed frank suicidal ideation or explicitly sought help against such thoughts. In conclusion, the extremely high viewership of videos on teenage suicide, which overwhelmingly convey a positive message, speaks to the demand for such content online and therefore reflects an online cry for help by teenagers. On the same note, this high demand also provides us a great opportunity to engage teenagers for suicide prevention through YouTube.

Pins and PNES: Systematic content analysis of Pinterest for information on psychogenic nonepileptic seizures (PNES).

Pinterest is a visual search based, the fourth largest social networking site in the U.S. with 81% of its users being women. Because of Pinterest's popularity and the high incidence of psychogenic nonepileptic seizures (PNES) among women, the aim of our current study was to perform a thorough content analysis of information available about PNES on Pinterest. The systematic search of Pinterest using various PNES related keywords revealed 57 unique pins. This was followed by content analysis by two independent reviewers. Most (87.7%) pins included in the final analysis reported at least one factor indicative of PNES. Most common were the consistent association of PNES with emotional triggers (61.4%), history of current or remote abuse (57.9%), and seizure's unresponsiveness to antiepileptic drugs (38.6%). Semiology of PNES was reported in 77.2% pins and two-thirds (66.6%) mentioned diagnostic procedures. Psychogenic nonepileptic seizure treatment and prognosis were reported in 68.4% and 56.1% pins, respectively. Around one-third of pins were from academic resources. More than 80% of pins targeted lay people with the primary aim of education and awareness and used a neutral or positive tone. To our knowledge, even though most pins have scientifically sound information, this widely popular web-based resource seems to be underutilized by academia, healthcare workers, and stakeholders for the dissemination of awareness about PNES.

Comparison of neurological healthcare oriented educational resources for patients on the internet.

The internet has become a major contributor to health literacy promotion. The average American reads at 7th-8th grade level and it is recommended to write patient education materials at or below 6th grade reading level. We tried to assess the level of literacy required to read and understand online patient education materials (OPEM) for neurological diseases from various internet resources. We then compared those to an assumed reference OPEM source, namely the patient education brochures from the American Academy of Neurology (AAN), the world's largest professional association of neurologists. Disease specific patient education brochures were downloaded from the AAN website. OPEM for these diseases were also accessed from other common online sources determined using a predefined criterion. All OPEM were converted to Microsoft Word (Microsoft Corp., Redmond, WA, USA) and their reading level was analyzed using Readability Studio Professional Edition version 2012.1 (Oleander Software, Vandalia, OH, USA). Descriptive analysis and analysis of variance were used to compare reading levels of OPEM from different resources. Medline Plus, Mayo clinic and Wikipedia qualified for OPEM analysis. All OPEM from these resources, including the AAN, were written above the recommended 6th grade reading level. They were also found to be "fairly difficult", "difficult" or "confusing" on the Flesch Reading Ease scale. AAN OPEM on average needed lower reading level, with Wikipedia OPEM being significantly (p<0.01) more difficult to read compared to the other three resources. OPEM on neurological diseases are being written at a level of reading complexity higher than the average American and the recommended reading levels. This may be undermining the utility of these resources.